A technique for assimilating SSM/I observations of marine atmospheric storms: Tests with ECMWF analyses

Journal of Applied Meteorology

Volumn 35, Issue 8, 1996, Pages 1177-1188

  Hoffman, Ross N ^a   Grassotti, Christopher ^a  

^a ATMOSPHERIC AND ENVIRONMENTAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION; ECMWF; ECMWF ANALYSES; MARINE ATMOSPHERIC STORM; MICROWAVE IMAGERY; SSM/I; SSM/I OBSERVATIONS; STORM FORECAST; WATER VAPOUR; WEATHER FORECASTING;

EID: 0030463191     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0450(1996)035<1177:ATFASO>2.0.CO;2     Document Type: Article

References (17)

1. Alishouse, J. C., S. A. Snyder, J. Vongsathorn, and R. R. Ferrarro, 1990: Determination of oceanic total precipitable water from the SSM/I. IEEE Trans. Geosci. Remote Sens., 28, 811-816.
2. Barker, E. H., 1992: Design of the navy's multivariate optimum interpolation analysis system. Wea. Forecasting, 7, 220-231.
3. Brand, S., 1992: Applying weather analyses and forecasts in the navy decision-making process. Bull. Amer. Meteor. Soc., 73, 31-33.
4. Courtier, P., J. Derber, R. Errico, J.-F. Louis, and T. Vukićević, 1993: Important literature on the use of adjoint, variational methods and the Kalman filter in meteorology. Tellus, 45A, 342-357.
5. Deblonde, G., L. Garand, P. Gauthier, and C. Grassotti, 1995: Assimilation of SSM/I and GOES humidity retrievals with a one-dimensional variational analysis scheme. J. Appl. Meteor., 34, 1536-1550.
6. Dennis. J. E., D. M. Gay, and R. E. Welsch, 1981: An adaptive nonlinear least-squares algorithm. ACM Trans. Math. Software, 7, 348-383.
7. ECMWF, 1993: The description of the ECMWF/WCRP Level III-A global atmospheric data archive. ECMWF, Reading, United Kingdom, 49 pp. [Available from ECMWF, Shinfield Park, Reading RG29AK, United Kingdom.
8. Eyre, J. R., 1989a: Inversion of cloudy satellite sounding radiances by nonlinear optimal estimation. Part I: Theory and simulation for TOVS. Quart. J. Roy. Meteor. Soc., 115, 1001-1026.
9. _, 1989b: Inversion of cloudy satellite sounding radiances by nonlinear optimal estimation. Part II: Application to TOVS data. Quart. J. Roy. Meteor. Soc., 115, 1027-1037.
10. Goerss, J. S., and P. A. Phoebus, 1992: The Navy's operational atmospheric analysis. Wea. Forecasting, 7, 232-249.
11. Hoffman, R. N., 1993: A preliminary study of the impact of the ERS 1 C-band scatterometer wind data on the ECMWF global data assimilation system. J. Geophys. Res., 98(C6). 10 233-10 244.
12. _, Z. Liu, J.-F. Louis, and C. Grassotti, 1995: Distortion representation of forecast errors. Mon. Wea. Rev., 123, 2758-2770.
13. Hollinger, J. P., J. L. Pierce, and G. A. Poe, 1990: SSM/I instrument evaluation. IEEE Trans. Geosci. Remote Sens., 28, 781-790.
14. Lawrence, M. B., and E. N. Rappaport, 1994: Eastern North Pacific hurricane season of 1992. Mon. Wea. Rev., 122, 549-558.
15. Nehrkorn, T., R. Hoffman, J.-F. Louis, R. G. Isaacs, and J.-L. Moncet, 1993: Analysis and forecast improvements from simulated satellite water vapor profiles and rainfall using a global data assimilation system. Mon. Wea. Rev., 121, 2727-2739.
16. Rosmond, T. E., 1992: The design and testing of the navy operational global atmospheric prediction system. Wea. Forecasting, 7, 262-272.
17. Wentz, F. J., 1992: Measurement of oceanic wind vector using satellite microwave radiometers. IEEE Trans. Geosci. Remote Sens., 30, 960-972.